基于拉普拉斯滤波算法的古建筑结构振动位移测量研究

现行古建筑修筑年代过久,在地壳运动等客观因素作用下,其内部结构会发生不同程度的振动位移。传统方法未对数据噪声能量进行滤波,导致测量结果准确率低。为此提出基于拉普拉斯滤波算法的古建筑结构振动位移测量方法,分散设立扫描站点以获取更完整的振动信息数据,设立多个标靶用作振动数据配准,按照数据的精度约束条件对扫描仪的各项参数进行设定,完成振动数据采集。对各测站点扫描的振动数据进行归一化处理,使它们处于同一个坐标系中,实现各独立坐标系至同一坐标系的变换,应用多站拼接方法对振动数据进行拼接,将完成拼接的数据重叠部分整合在一个图层上。运用拉普拉斯滤波算法将噪声能量移至其邻域不同点上实现去噪,通过振动响应灵敏度识别法对古建筑结构振动位移进行测量。实验结果表明,所提方法测量结果精确,应用性较强。

Study on vibration displacement measurement of ancient building structure based on Laplace filtering algorithm

The present ancient buildings have been built for too long. Under the action of the crustal movement and other objective factors, the internal structures of the buildings will have different degrees of vibration displacement. The traditional method does not filter the data noise energy, so the accuracy of measurement results is low. In this paper, a vibration displacement measurement method based on Laplacian filtering algorithm is proposed. Firstly, more complete vibration information data are obtained from the scanning station set up separately, and several targets are set up for vibration data registration. The parameters of the scanner are set according to the precision constraints of the data, and the vibration data collection is completed. Secondly, the vibration data scanned by each station are normalized to make them. In the same coordinate system, the transformation from each independent coordinate system to the same coordinate system is realized, and the vibration data is stitched by multi-station splicing method, and the overlapped part of the completed data is integrated into one layer. The Laplace filtering algorithm is used to filter the noise energy at different points in its neighborhood, and the vibration displacement of the ancient building structure is measured by the method of vibration response sensitivity identification. The experimental results show that the proposed method is accurate and applicable.